HPT
Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.
Train scalable AI models that learn from diverse datasets, enhancing their ability to make decisions in various scenarios.
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Free · no card · unsubscribe anytimeHeterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.
HPT has 541 stars on GitHub. It has been forked 36 times. HPT is written mainly in Python. It has been in active development since 2024. HPT is available under the MIT license. Its main topics are foundation-models, heterogeneity, hpt, policy.
What is HPT?
Heterogeneous Pre-trained Transformer (HPT) as Scalable Policy Learner.
Is HPT open source?
HPT is an open-source project. It is released under the MIT license.
Is HPT free?
Yes. HPT is free and open source — you can use, modify and self-host it.
What license does HPT use?
HPT is available under the MIT license.
What language is HPT written in?
HPT is written mainly in Python.
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